package com.ruoyi.media.service.impl;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import com.ruoyi.system.mapper.media.MediaDashboardMapper;
import com.ruoyi.media.service.IMediaDashboardService;

/**
 * 广电用户仪表盘Service业务层实现
 * 
 * @author ruoyi
 */
@Service
public class MediaDashboardServiceImpl implements IMediaDashboardService
{
    // 暂时注释掉Mapper注入，避免XML解析问题
    // @Autowired
    // private MediaDashboardMapper mediaDashboardMapper;

    /**
     * 获取仪表盘所有数据
     */
    @Override
    public Map<String, Object> getDashboardData()
    {
        Map<String, Object> result = new HashMap<>();

        // 获取基础指标
        Map<String, Object> metrics = getBaseMetrics();
        result.putAll(metrics);
        
        // 获取业务品牌分布
        result.put("businessBrandDistribution", getBusinessBrandDistribution());
        
        // 获取用户价值等级分布
        result.put("userValueLevelDistribution", getUserValueLevelDistribution());
        
        // 获取电视消费水平分布
        result.put("tvConsumeLevelDistribution", getTvConsumeLevelDistribution());
        
        // 获取宽带消费水平分布
        result.put("broadbandConsumeLevelDistribution", getBroadbandConsumeLevelDistribution());
        
        // 获取用户增长趋势
        result.put("userGrowthTrend", getUserGrowthTrend(null, null));
        
        return result;
    }

    /**
     * 获取基础指标统计
     */
    @Override
    public Map<String, Object> getBaseMetrics()
    {
        Map<String, Object> mockData = new HashMap<>();
        mockData.put("totalCount", 1000);
        mockData.put("activeCount", 800);
        mockData.put("avgConsume", 100.5);
        mockData.put("retentionCount", 200);
        return mockData;
    }

    /**
     * 获取业务品牌分布
     */
    @Override
    public List<Map<String, Object>> getBusinessBrandDistribution()
    {
        List<Map<String, Object>> mockData = new ArrayList<>();
        Map<String, Object> item = new HashMap<>();
        item.put("name", "Brand1");
        item.put("value", 500);
        mockData.add(item);
        return mockData;
    }

    /**
     * 获取用户价值等级分布
     */
    @Override
    public List<Map<String, Object>> getUserValueLevelDistribution()
    {
        List<Map<String, Object>> mockData = new ArrayList<>();
        Map<String, Object> item = new HashMap<>();
        item.put("name", "High");
        item.put("value", 300);
        mockData.add(item);
        return mockData;
    }

    /**
     * 获取电视消费水平分布
     */
    @Override
    public List<Map<String, Object>> getTvConsumeLevelDistribution()
    {
        List<Map<String, Object>> mockData = new ArrayList<>();
        Map<String, Object> item = new HashMap<>();
        item.put("name", "High");
        item.put("value", 250);
        mockData.add(item);
        return mockData;
    }

    /**
     * 获取宽带消费水平分布
     */
    @Override
    public List<Map<String, Object>> getBroadbandConsumeLevelDistribution()
    {
        List<Map<String, Object>> mockData = new ArrayList<>();
        Map<String, Object> item = new HashMap<>();
        item.put("name", "High");
        item.put("value", 200);
        mockData.add(item);
        return mockData;
    }

    /**
     * 获取用户增长趋势
     */
    @Override
    public List<Map<String, Object>> getUserGrowthTrend(String startTime, String endTime)
    {
        List<Map<String, Object>> mockData = new ArrayList<>();
        Map<String, Object> item = new HashMap<>();
        item.put("date", "2023-01");
        item.put("count", 100);
        mockData.add(item);
        return mockData;
    }
}